Enhanced Adaptive Random Test Case Prioritization for Model-based Test Suites

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00341373" target="_blank" >RIV/68407700:21230/20:00341373 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.12700/APH.17.7.2020.7.7" target="_blank" >https://doi.org/10.12700/APH.17.7.2020.7.7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.12700/APH.17.7.2020.7.7" target="_blank" >10.12700/APH.17.7.2020.7.7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Enhanced Adaptive Random Test Case Prioritization for Model-based Test Suites

Popis výsledku v původním jazyce

Adaptive Random Prioritization is a Test Case Prioritization technique which orders test cases within a test suite with a goal of earlier fault detection using a semi-random heuristics. Compared to other Test Case Prioritization methods, Adaptive Random Prioritization has only an average fault detection performance. However, it is less sensitive to some test suite features which negatively affect fault detection performance than other TCP techniques due to its semi-random nature. The article proposes an improved version of Adaptive Random Prioritization technique. The key idea behind the presented enhancement is to extend the test case selection process with additional information about control flow and change of test statements coverage of a test suite. The enhancement replaces the original Test set distance function with a Multi-Criteria Decision-Making method. Validity of the proposed method is evaluated on data from six embedded systems. The evaluation criterion is fault detection performance expressed by Average Percentage of Faults Detection metric and Â12 statistic. The proposed improvement achieved better fault detection performance for all examined systems.

Název v anglickém jazyce

Enhanced Adaptive Random Test Case Prioritization for Model-based Test Suites

Popis výsledku anglicky

Adaptive Random Prioritization is a Test Case Prioritization technique which orders test cases within a test suite with a goal of earlier fault detection using a semi-random heuristics. Compared to other Test Case Prioritization methods, Adaptive Random Prioritization has only an average fault detection performance. However, it is less sensitive to some test suite features which negatively affect fault detection performance than other TCP techniques due to its semi-random nature. The article proposes an improved version of Adaptive Random Prioritization technique. The key idea behind the presented enhancement is to extend the test case selection process with additional information about control flow and change of test statements coverage of a test suite. The enhancement replaces the original Test set distance function with a Multi-Criteria Decision-Making method. Validity of the proposed method is evaluated on data from six embedded systems. The evaluation criterion is fault detection performance expressed by Average Percentage of Faults Detection metric and Â12 statistic. The proposed improvement achieved better fault detection performance for all examined systems.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/EF16_025%2F0007318" target="_blank" >EF16_025/0007318: Pokročilé testování automobilových radarů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta Polytechnica Hungarica

ISSN

1785-8860

e-ISSN

1785-8860

Svazek periodika

2020

Číslo periodika v rámci svazku

17

Stát vydavatele periodika

HU - Maďarsko

Počet stran výsledku

20

Strana od-do

125-144

Kód UT WoS článku

000566898500007

EID výsledku v databázi Scopus

2-s2.0-85091116174